The Scholarship of Teaching and Learning

Upcoming and Past Events

Upcoming Events

May 19, 2026 from 10:00 AM – 3:00 PM

Join us at James Madison University (or online) for an AI-Literacy focused workshop. This full-day May Symposium ”Bonus” session invites faculty from across Virginia to engage deeply with the question of how higher education should respond to AI—not simply through policies or restrictions, but through intentional teaching and curriculum design. 

Participants will leave with:

  • A research-informed framework for understanding AI literacy in higher education
  • A deeper perspective on AI’s implications for learning and disciplinary practice
  • Practical strategies for integrating AI literacy into courses and curricula
  • A draft plan for implementing student reflection on AI’s impact on learning

Travel stipends are available if you register by the priority deadline of May 1, 2026.

Click Here for More Information and to Register

Past Events

Virginia AI Symposium: Advancing Teaching and Learning in the Age of Generative AI (held in January 2026)

The Virginia AI Symposium: Advancing Teaching and Learning in the Age of Generative AI was a day-long, multi-modal, cross-institutional event that brought together over 360 instructors, educational developers, staff, administrators, and students from 50 institutions to explore the potentials and pitfalls of generative AI (GenAI) in teaching and learning in higher education. 

The symposium functioned as a key dissemination outlet for the MegaSoTL-AI initiative and was designed to support intentional, research-informed decision-making about GenAI’s evolving role in teaching and learning in higher education, and to foster cross-institutional dialogue in this domain. The symposium included a keynote, interactive sessions, and research presentations that translated emerging scholarship into actionable classroom practices. To maximize access and participation, both an in-person and a virtual track were held, with a shared, livestreamed keynote followed by unique sessions in each track.